Search for dissertations about: "Visual Recognition"

Showing result 1 - 5 of 97 swedish dissertations containing the words Visual Recognition.

  1. 1. Data Driven Visual Recognition

    Author : Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

    Abstract : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. READ MORE

  2. 2. Predictive eyes precede retrieval : visual recognition as hypothesis testing

    Author : Linus Holm; Timo Mäntylä; Lars Nyberg; David Melcher; Umeå universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; declarative memory; face perception; object recognition; scene recognition; eye movements; visual awareness; recollection; familiarity; Psychology; Psykologi;

    Abstract : Does visual recognition entail verifying an idea about what is perceived? This question was addressed in the three studies of this thesis. The main hypothesis underlying the investigation was that visual recognition is an active process involving hypothesis testing. READ MORE

  3. 3. Lip-motion biometrics for audio-visual identity recognition

    Author : Maycel Isaac Faraj; Massimo Tistarelli; Högskolan i Halmstad; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Biometrics; Lip motion; Audio-visual signals; Speech recognition; Speaker recognition; Digit recognition; Image analysis; Bildanalys;

    Abstract : Biometric recognition systems have been established as powerful security tools to prevent unknown users from entering high risk systems and areas. They are increasingly being utilized in surveillance and access management (city centers, banks, etc.) by using individuals' physical or biological characteristics. READ MORE

  4. 4. Embodied Visual Object Recognition

    Author : Marcus Wallenberg; Per-Erik Forssén; Michael Felsberg; Aleš Ude; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; object recognition; machine learning; computer vision;

    Abstract : Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. READ MORE

  5. 5. Convolutional Network Representation for Visual Recognition

    Author : Ali Sharif Razavian; Atsuto Maki; Stefan Carlsson; Josephine Sullivan; Josef Sivic; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Convolutional Network; Visual Recognition; Transfer Learning; Computer Science; Datalogi;

    Abstract : Image representation is a key component in visual recognition systems. In visual recognition problem, the solution or the model should be able to learn and infer the quality of certain visual semantics in the image. READ MORE